CN108055431B - Real-time field image acquisition system - Google Patents
Real-time field image acquisition system Download PDFInfo
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- CN108055431B CN108055431B CN201711332374.3A CN201711332374A CN108055431B CN 108055431 B CN108055431 B CN 108055431B CN 201711332374 A CN201711332374 A CN 201711332374A CN 108055431 B CN108055431 B CN 108055431B
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- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
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- H—ELECTRICITY
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Abstract
The invention relates to a real-time field image acquisition system which comprises volume detection equipment, a spring support, a photographic assembly and solar power supply equipment, wherein the volume detection equipment is used for detecting audio generated by the environment where the volume detection equipment is located and outputting corresponding real-time volume, the spring support is converted from a contraction state to a bounce state when the real-time volume is larger than or equal to a preset volume threshold value, the photographic assembly is arranged on the spring support and comprises a hexagonal cylinder, a photographic controller, a plurality of low-speed photographic units and a plurality of tip protruding parts, the hexagonal cylinder is arranged on the spring support, one low-speed photographic unit is arranged on each side surface of the hexagonal cylinder, and the tip protruding parts are arranged on the hexagonal cylinder and between every two low-speed photographic units and used for preventing a photographed target from damaging the photographic assembly. The invention also relates to a real-time field image acquisition method. The invention can effectively improve the shooting performance and durability of the field shooting device.
Description
Technical Field
The invention relates to the field of field shooting, in particular to a real-time field image acquisition system.
Background
The purpose of field photography is to show people the real living conditions of animals in the field by taking photography as a means, or to capture the natural beauty at the unique visual angle of photographers.
When studying wild animals, researchers often need to observe the conditions of wild animals for a long time, and thus cameras placed in the field become a research hotspot for manufacturers of imaging devices. The field camera device has two important application fields, wherein a professional reporter provides field materials for recording documentaries, and a shooting fan shoots preferred animals at fixed points and at fixed time.
The field camera device in the prior art generally has a motion detection function, and when the motion of an object in front is detected, the object is usually an animal, and the object can be automatically photographed and uploaded to a corresponding network. However, due to the rigor of the field environment and the uncontrollable nature of the object to be photographed, the field imaging device in the prior art has disadvantages in terms of imaging performance, durability, and power consumption performance, and needs to be further improved and improved.
Disclosure of Invention
In order to solve the problems, the invention provides a real-time field image acquisition system and a real-time field image acquisition method.
The invention has at least the following three important points:
(1) the method has the advantages that a low-resolution acquisition mode and a high-resolution acquisition mode are set for each camera unit forming the panoramic image, and the high-resolution acquisition mode is started only when a non-background target with a preset size is detected, so that the power consumption of a system in a field shooting environment is effectively reduced, and the shooting time of the system in the field environment is verified;
(2) the tip protruding parts are arranged between every two low-speed photographing units and used for preventing a photographed object from damaging a photographing assembly, so that the durability of the field environment photographing equipment is guaranteed;
(3) the filtering precision of the panoramic image is guaranteed by a filtering mode selection mechanism of the real-time panoramic image based on the complexity of the current scene, the weight of the complexity of the scene, the actual geometric shape and the weight of the geometric shape.
According to an aspect of the invention, there is provided a real-time field image acquisition system, the system comprising:
the volume detection equipment is used for detecting audio generated by the environment where the volume detection equipment is located and determining the volume corresponding to the audio to be output as real-time volume;
the spring support comprises a support main body, a spring mechanism and a spring driver, the spring mechanism is arranged below the support main body, and the spring driver is respectively connected with the spring mechanism and the volume detection equipment and used for receiving the real-time volume and driving the spring mechanism to be converted from a contraction state to an bounce state to bounce the support main body when the real-time volume is larger than or equal to a preset volume threshold value;
the photographing assembly is arranged on the spring support and comprises a hexagonal cylinder, a photographing controller, a plurality of low-speed photographing units and a plurality of tip protruding parts, the hexagonal cylinder is arranged on the spring support, one low-speed photographing unit is placed on each side face of the hexagonal cylinder, the photographing controller is respectively connected with the low-speed photographing units, the low-speed photographing units are located on the same horizontal plane, and the tip protruding parts are arranged on the hexagonal cylinder and between every two low-speed photographing units and used for preventing a photographed target from damaging the photographing assembly;
the solar power supply device is used for supplying power to the volume detection device, the spring driver and the camera module, wherein the power distribution strategy of the solar power supply device is to preferentially provide power support for the volume detection device and the spring driver;
and if the spring driver does not receive the real-time volume which is greater than or equal to the preset volume threshold value within the preset time length, the spring driver drives the spring mechanism to be converted from the bouncing state to the contracting state so as to retract the support main body.
According to another aspect of the present invention, there is also provided a real-time field image acquisition method, the method comprising:
the volume detection equipment is used for detecting audio generated by the environment where the volume detection equipment is located and determining the volume corresponding to the audio to be output as real-time volume;
the spring support comprises a support main body, a spring mechanism and a spring driver, wherein the spring mechanism is arranged below the support main body, and the spring driver is respectively connected with the spring mechanism and the volume detection equipment, is used for receiving the real-time volume and drives the spring mechanism to be converted from a contraction state to an bounce state to bounce the support main body when the real-time volume is greater than or equal to a preset volume threshold value;
the photographing assembly is arranged on the spring support and comprises a hexagonal cylinder, a photographing controller, a plurality of low-speed photographing units and a plurality of tip protruding parts, the hexagonal cylinder is arranged on the spring support, one low-speed photographing unit is placed on each side face of the hexagonal cylinder, the photographing controller is respectively connected with the low-speed photographing units, the low-speed photographing units are located on the same horizontal plane, and the tip protruding parts are arranged on the hexagonal cylinder and between every two low-speed photographing units and used for preventing a photographed target from damaging the photographing assembly;
the solar power supply equipment is used for supplying power to the volume detection equipment, the spring driver and the camera module, wherein the power distribution strategy of the solar power supply equipment is to preferentially provide power support for the volume detection equipment and the spring driver;
and if the spring driver does not receive the real-time volume which is greater than or equal to the preset volume threshold value within the preset time length, the spring driver drives the spring mechanism to be converted from the bouncing state to the contracting state so as to retract the support main body.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram of a real-time field image acquisition system according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a camera module of a real-time field image acquisition system according to an embodiment of the invention.
Fig. 3 is a flow chart illustrating steps of a real-time field image acquisition method according to an embodiment of the present invention.
Detailed Description
Embodiments of the real-time field image acquisition method of the present invention will be described in detail below with reference to the accompanying drawings.
In order to overcome the defects, the invention builds a real-time field image acquisition system and a real-time field image acquisition method.
Fig. 1 is a schematic structural diagram of a real-time field image acquisition system according to an embodiment of the present invention, the system including:
the volume detection equipment is used for detecting audio generated by the environment where the volume detection equipment is located and determining the volume corresponding to the audio to be output as real-time volume;
the spring support comprises a support main body, a spring mechanism and a spring driver, the spring mechanism is arranged below the support main body, and the spring driver is respectively connected with the spring mechanism and the volume detection equipment and used for receiving the real-time volume and driving the spring mechanism to be converted from a contraction state to an bounce state to bounce the support main body when the real-time volume is larger than or equal to a preset volume threshold value;
as shown in fig. 2, the photographing assembly is disposed on the spring support, and includes a hexagonal cylinder, a photographing controller, a plurality of low-speed photographing units, and a plurality of pointed protrusions, the hexagonal cylinder is disposed on the spring support, one low-speed photographing unit is disposed on each side of the hexagonal cylinder, the photographing controller is respectively connected to the plurality of low-speed photographing units, the plurality of low-speed photographing units are located on the same horizontal plane, and a pointed protrusion is disposed on the hexagonal cylinder and between every two low-speed photographing units for preventing a photographed target from damaging the photographing assembly;
the solar power supply device is used for supplying power to the volume detection device, the spring driver and the camera module, wherein the power distribution strategy of the solar power supply device is to preferentially provide power support for the volume detection device and the spring driver;
and if the spring driver does not receive the real-time volume which is greater than or equal to the preset volume threshold value within the preset time length, the spring driver drives the spring mechanism to be converted from the bouncing state to the contracting state so as to retract the support main body.
Next, the detailed structure of the real-time field image acquisition system of the present invention will be further described.
The real-time field image acquisition system can further comprise:
in the photographic assembly, each low-speed photographic unit is provided with a low-resolution acquisition mode and a high-resolution acquisition mode, each low-speed photographic unit adopts the low-resolution acquisition mode to carry out real-time low-resolution data acquisition on a view field range which is responsible for the low-resolution photographic unit in a default state so as to obtain a real-time low-resolution image, the photographic controller carries out data analysis on the real-time low-resolution image which is acquired by each low-speed photographic unit, when the number of abnormal pixel points of which the pixel values are not in the preset scene pixel value range in the real-time low-resolution image is more than or equal to a first preset number threshold value, the corresponding low-speed photographic unit is controlled to be switched from the low-resolution acquisition mode to the high-resolution acquisition mode, and the real-time high-resolution data acquisition is carried out;
the camera assembly also carries out image splicing on the real-time high-resolution images or the real-time low-resolution images output by the low-speed camera units in real time so as to obtain real-time panoramic images;
the complexity analysis equipment is connected with the camera assembly and used for receiving the real-time panoramic image and carrying out scene complexity analysis on the real-time panoramic image so as to obtain and output the current scene complexity;
the target analysis equipment is connected with the camera assembly and used for receiving the real-time panoramic image, and performing dynamic target identification on the real-time panoramic image based on the recently received real-time panoramic image so as to obtain and output the actual geometric shape of the maximum dynamic target in the real-time panoramic image;
the filtering selection device is respectively connected with the complexity analysis device and the target analysis device and is used for determining a filtering mode for executing filtering processing on the real-time panoramic image based on the current scene complexity, the scene complexity weight, the actual geometric shape and the geometric shape weight so as to output the filtering mode as an optimal filtering mode;
the filtering execution device is respectively connected with the filtering selection device and the camera component and is used for receiving the optimal filtering mode and carrying out filtering processing on the real-time panoramic image based on the optimal filtering mode so as to obtain and output a panoramic filtering image;
the image compression equipment is connected with the filtering execution equipment and is used for carrying out data compression on the instant filtering image based on an MPEG-4 compression standard so as to obtain and output an instant compression image;
the wireless uploading device is connected with the image compression device and is used for respectively detecting the intensity of signals of various wireless communication networks existing around, selecting the wireless communication network with the maximum signal intensity and wirelessly transmitting the instant compressed image to a remote server;
the photographing controller is used for analyzing data of the real-time high-resolution images acquired by each low-speed photographing unit, and when the number of abnormal pixel points with pixel values not within a preset scene pixel value range in the real-time high-resolution images within a preset time length is smaller than a second preset number threshold, the corresponding low-speed photographing unit is controlled to be switched from a high-resolution acquisition mode to a low-resolution acquisition mode, and real-time low-resolution data acquisition is carried out on a view field range which is responsible for the low-resolution acquisition mode, so that real-time low-resolution images are acquired;
and the ratio of the second preset number threshold to the first preset number threshold is equal to the ratio of the resolution of the real-time high-resolution image of each low-speed shooting unit to the resolution of the real-time low-resolution image of each low-speed shooting unit.
The real-time field image acquisition system can further comprise:
the instant storage device is connected with the image compression device and used for storing the instant compressed image and performing storage space covering storage on the instant compressed image with the longest shooting time when the storage capacity of the instant compressed image is full;
wherein the instant storage device, the complexity analysis device, the target analysis device, the filter selection device, the filter execution device, the image compression device, and the wireless upload device are all located within the stent body.
The real-time field image acquisition system can further comprise:
a timing device connected to the photographing controller and the spring driver, respectively;
wherein the timing device is configured to provide a timing operation of a predetermined length of time for the photography controller and the spring driver.
The real-time field image acquisition system can further comprise:
the temperature sensing equipment is positioned on the bracket main body and used for detecting the current temperature generated by the environment where the temperature sensing equipment is positioned;
and the humidity sensing equipment is positioned on the support main body and used for detecting the current humidity generated by the environment where the humidity sensing equipment is positioned.
And, in the real-time field image acquisition system:
the wireless uploading equipment is also respectively connected with the temperature sensing equipment and the humidity sensing equipment and used for selecting the wireless communication network with the maximum signal intensity to wirelessly transmit the current temperature and the current humidity to a remote server
Fig. 3 is a flow chart illustrating steps of a real-time field image acquisition method according to an embodiment of the present invention, the method comprising:
the volume detection equipment is used for detecting audio generated by the environment where the volume detection equipment is located and determining the volume corresponding to the audio to be output as real-time volume;
the spring support comprises a support main body, a spring mechanism and a spring driver, wherein the spring mechanism is arranged below the support main body, and the spring driver is respectively connected with the spring mechanism and the volume detection equipment, is used for receiving the real-time volume and drives the spring mechanism to be converted from a contraction state to an bounce state to bounce the support main body when the real-time volume is greater than or equal to a preset volume threshold value;
the photographing assembly is arranged on the spring support and comprises a hexagonal cylinder, a photographing controller, a plurality of low-speed photographing units and a plurality of tip protruding parts, the hexagonal cylinder is arranged on the spring support, one low-speed photographing unit is placed on each side face of the hexagonal cylinder, the photographing controller is respectively connected with the low-speed photographing units, the low-speed photographing units are located on the same horizontal plane, and the tip protruding parts are arranged on the hexagonal cylinder and between every two low-speed photographing units and used for preventing a photographed target from damaging the photographing assembly;
the solar power supply equipment is used for supplying power to the volume detection equipment, the spring driver and the camera module, wherein the power distribution strategy of the solar power supply equipment is to preferentially provide power support for the volume detection equipment and the spring driver;
wherein, the spring driver does not receive the real-time volume which is larger than or equal to the preset volume threshold value within the preset time length, and then drives the spring mechanism to be converted from the bounce state to the contraction state so as to pack up the bracket main body
Next, the specific steps of the real-time field image acquisition method of the present invention will be further described.
The real-time field image acquisition method can further comprise the following steps:
in the photographic assembly, each low-speed photographic unit is provided with a low-resolution acquisition mode and a high-resolution acquisition mode, each low-speed photographic unit adopts the low-resolution acquisition mode to carry out real-time low-resolution data acquisition on a view field range which is responsible for the low-resolution photographic unit in a default state so as to obtain a real-time low-resolution image, the photographic controller carries out data analysis on the real-time low-resolution image which is acquired by each low-speed photographic unit, when the number of abnormal pixel points of which the pixel values are not in the preset scene pixel value range in the real-time low-resolution image is more than or equal to a first preset number threshold value, the corresponding low-speed photographic unit is controlled to be switched from the low-resolution acquisition mode to the high-resolution acquisition mode, and the real-time high-resolution data acquisition is carried out;
the camera assembly also carries out image splicing on the real-time high-resolution images or the real-time low-resolution images output by the low-speed camera units in real time so as to obtain real-time panoramic images;
the complexity analysis equipment is connected with the camera assembly and used for receiving the real-time panoramic image and analyzing scene complexity of the real-time panoramic image so as to obtain and output current scene complexity;
the target analysis equipment is connected with the camera assembly and used for receiving the real-time panoramic image, and performing dynamic target identification on the real-time panoramic image based on the recently received real-time panoramic image so as to obtain and output the actual geometric shape of the maximum dynamic target in the real-time panoramic image;
the filtering selection device is respectively connected with the complexity analysis device and the target analysis device, and is used for determining a filtering mode for executing filtering processing on the real-time panoramic image based on the current scene complexity, the scene complexity weight, the actual geometric shape and the geometric shape weight so as to output the filtering mode as an optimal filtering mode;
the filtering execution device is respectively connected with the filtering selection device and the camera module and is used for receiving the optimal filtering mode and filtering the real-time panoramic image based on the optimal filtering mode to obtain and output a panoramic filtering image;
the image compression device is connected with the filtering execution device and is used for carrying out data compression on the instant filtering image based on an MPEG-4 compression standard so as to obtain and output an instant compression image;
the wireless uploading device is connected with the image compression device and is used for respectively detecting the intensity of signals of various wireless communication networks existing around, selecting the wireless communication network with the maximum signal intensity and wirelessly transmitting the instant compressed image to a remote server;
the photographing controller is used for analyzing data of the real-time high-resolution images acquired by each low-speed photographing unit, and when the number of abnormal pixel points with pixel values not within a preset scene pixel value range in the real-time high-resolution images within a preset time length is smaller than a second preset number threshold, the corresponding low-speed photographing unit is controlled to be switched from a high-resolution acquisition mode to a low-resolution acquisition mode, and real-time low-resolution data acquisition is carried out on a view field range which is responsible for the low-resolution acquisition mode, so that real-time low-resolution images are acquired;
and the ratio of the second preset number threshold to the first preset number threshold is equal to the ratio of the resolution of the real-time high-resolution image of each low-speed shooting unit to the resolution of the real-time low-resolution image of each low-speed shooting unit.
The real-time field image acquisition method can further comprise the following steps:
the instant storage device is connected with the image compression device and used for storing the instant compressed image and performing storage space covering storage on the instant compressed image with the longest shooting time when the storage capacity of the instant compressed image is full;
wherein the instant storage device, the complexity analysis device, the target analysis device, the filter selection device, the filter execution device, the image compression device, and the wireless upload device are all located within the stent body.
The real-time field image acquisition method can further comprise the following steps:
the timing device is respectively connected with the photographing controller and the spring driver;
wherein the timing device is configured to provide a timing operation of a predetermined length of time for the photography controller and the spring driver.
The real-time field image acquisition method can further comprise the following steps:
the temperature sensing equipment is positioned on the bracket main body and used for detecting the current temperature generated by the environment where the temperature sensing equipment is positioned;
the humidity sensing equipment is positioned on the support main body and used for detecting the current humidity generated by the environment where the humidity sensing equipment is positioned.
And, in the real-time field image acquisition method:
the wireless uploading device is also respectively connected with the temperature sensing device and the humidity sensing device and used for selecting the wireless communication network with the maximum signal intensity to wirelessly transmit the current temperature and the current humidity to a remote server.
In addition, image filtering, namely, suppressing the noise of the target image under the condition of keeping the detail features of the image as much as possible, is an indispensable operation in image preprocessing, and the effectiveness and reliability of subsequent image processing and analysis are directly affected by the quality of the processing effect.
Due to the imperfections of the imaging system, the transmission medium, and the recording device, the digital images are often contaminated by various noises during the formation, transmission, and recording processes thereof. In addition, noise may also be introduced into the resulting image at some point in the image processing when the input image object is not as expected. These noises often appear as an isolated pixel or block of pixels on the image that causes a strong visual effect. In general, the noise signal is not correlated with the object to be studied-it appears in the form of useless information, disturbing the observable information of the image. For digital image signals, the noise table is more or less extreme values, and the extreme values act on the real gray values of image pixels through addition and subtraction to cause bright and dark point interference on the image, so that the image quality is greatly reduced, and the follow-up work of image restoration, segmentation, feature extraction, image identification and the like is influenced. Two basic issues must be considered to construct an effective noise suppression filter: the noise in the target and the background can be effectively removed; meanwhile, the shape, the size and the specific geometric and topological structure characteristics of the image target can be well protected.
One of the commonly used image filtering modes is a non-linear filter, generally speaking, when the signal spectrum and the noise spectrum are mixed or when the signal contains non-superimposed noise, such as noise caused by system nonlinearity or the presence of non-gaussian noise, etc.), the conventional linear filtering techniques, such as fourier transform, while filtering out noise, always blur the image details (such as edges, etc.) in some way, thereby causing the positioning accuracy of the image linear features and the extractability of the features to be reduced. The nonlinear filter is based on a nonlinear mapping relation of an input signal, a specific noise can be mapped to be zero approximately, the main characteristic of the signal is reserved, and therefore the nonlinear filter can overcome the defects of the linear filter to a certain extent.
By adopting the real-time field image acquisition system and the method, aiming at the technical problems of poor shooting performance and lack of durability of field shooting equipment in the prior art, firstly, the starting shooting mechanism of the field shooting equipment is modified, so that the shooting is started only under the condition that a nearby target is moving and static, the power consumption of the field shooting equipment is reduced, secondly, the shooting mode of a field camera device is modified, the high-resolution shooting with high power consumption is realized only under the condition that an effective target appears, and more importantly, the filtering mechanism of the field shooting is optimized, and finally, the durability of the field shooting equipment is further improved by improving the power supply equipment and the anti-attack equipment.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (6)
1. A real-time field image acquisition system, the system comprising:
the volume detection equipment is used for detecting audio generated by the environment where the volume detection equipment is located and determining the volume corresponding to the audio to be output as real-time volume;
the spring support comprises a support main body, a spring mechanism and a spring driver, the spring mechanism is arranged below the support main body, and the spring driver is respectively connected with the spring mechanism and the volume detection equipment and used for receiving the real-time volume and driving the spring mechanism to be converted from a contraction state to an bounce state to bounce the support main body when the real-time volume is larger than or equal to a preset volume threshold value;
the photographing assembly is arranged on the spring support and comprises a hexagonal cylinder, a photographing controller, a plurality of low-speed photographing units and a plurality of tip protruding parts, the hexagonal cylinder is arranged on the spring support, one low-speed photographing unit is placed on each side face of the hexagonal cylinder, the photographing controller is respectively connected with the low-speed photographing units, the low-speed photographing units are located on the same horizontal plane, and the tip protruding parts are arranged on the hexagonal cylinder and between every two low-speed photographing units and used for preventing a photographed target from damaging the photographing assembly;
the solar power supply device is used for supplying power to the volume detection device, the spring driver and the camera module, wherein the power distribution strategy of the solar power supply device is to preferentially provide power support for the volume detection device and the spring driver;
and if the spring driver does not receive the real-time volume which is greater than or equal to the preset volume threshold value within the preset time length, the spring driver drives the spring mechanism to be converted from the bouncing state to the contracting state so as to retract the support main body.
2. The real-time field image acquisition system of claim 1, further comprising:
in the photographic assembly, each low-speed photographic unit is provided with a low-resolution acquisition mode and a high-resolution acquisition mode, each low-speed photographic unit adopts the low-resolution acquisition mode to carry out real-time low-resolution data acquisition on a view field range which is responsible for the low-resolution photographic unit in a default state so as to obtain a real-time low-resolution image, the photographic controller carries out data analysis on the real-time low-resolution image which is acquired by each low-speed photographic unit, when the number of abnormal pixel points of which the pixel values are not in the preset scene pixel value range in the real-time low-resolution image is more than or equal to a first preset number threshold value, the corresponding low-speed photographic unit is controlled to be switched from the low-resolution acquisition mode to the high-resolution acquisition mode, and the real-time high-resolution data acquisition is carried out;
the camera assembly also carries out image splicing on the real-time high-resolution images or the real-time low-resolution images output by the low-speed camera units in real time so as to obtain real-time panoramic images;
the complexity analysis equipment is connected with the camera assembly and used for receiving the real-time panoramic image and carrying out scene complexity analysis on the real-time panoramic image so as to obtain and output the current scene complexity;
the target analysis equipment is connected with the camera assembly and used for receiving the real-time panoramic image, and performing dynamic target identification on the real-time panoramic image based on the recently received real-time panoramic image so as to obtain and output the actual geometric shape of the maximum dynamic target in the real-time panoramic image;
the filtering selection device is respectively connected with the complexity analysis device and the target analysis device and is used for determining a filtering mode for executing filtering processing on the real-time panoramic image based on the current scene complexity, the scene complexity weight, the actual geometric shape and the geometric shape weight so as to output the filtering mode as an optimal filtering mode;
the filtering execution device is respectively connected with the filtering selection device and the camera component and is used for receiving the optimal filtering mode and carrying out filtering processing on the real-time panoramic image based on the optimal filtering mode so as to obtain and output a panoramic filtering image;
the image compression equipment is connected with the filtering execution equipment and is used for carrying out data compression on the instant filtering image based on an MPEG-4 compression standard so as to obtain and output an instant compression image;
the wireless uploading device is connected with the image compression device and is used for respectively detecting the intensity of signals of various wireless communication networks existing around, selecting the wireless communication network with the maximum signal intensity and wirelessly transmitting the instant compressed image to a remote server;
the photographing controller is used for analyzing data of the real-time high-resolution images acquired by each low-speed photographing unit, and when the number of abnormal pixel points with pixel values not within a preset scene pixel value range in the real-time high-resolution images within a preset time length is smaller than a second preset number threshold, the corresponding low-speed photographing unit is controlled to be switched from a high-resolution acquisition mode to a low-resolution acquisition mode, and real-time low-resolution data acquisition is carried out on a view field range which is responsible for the low-resolution acquisition mode, so that real-time low-resolution images are acquired;
and the ratio of the second preset number threshold to the first preset number threshold is equal to the ratio of the resolution of the real-time high-resolution image of each low-speed shooting unit to the resolution of the real-time low-resolution image of each low-speed shooting unit.
3. The real-time field image acquisition system of claim 2, further comprising:
the instant storage device is connected with the image compression device and used for storing the instant compressed image and performing storage space covering storage on the instant compressed image with the longest shooting time when the storage capacity of the instant compressed image is full;
wherein the instant storage device, the complexity analysis device, the target analysis device, the filter selection device, the filter execution device, the image compression device, and the wireless upload device are all located within the stent body.
4. The real-time field image acquisition system of claim 3, further comprising:
a timing device connected to the photographing controller and the spring driver, respectively;
wherein the timing device is configured to provide a timing operation of a predetermined length of time for the photography controller and the spring driver.
5. The real-time field image acquisition system of claim 4, further comprising:
the temperature sensing equipment is positioned on the bracket main body and used for detecting the current temperature generated by the environment where the temperature sensing equipment is positioned;
and the humidity sensing equipment is positioned on the support main body and used for detecting the current humidity generated by the environment where the humidity sensing equipment is positioned.
6. The real-time field image acquisition system of claim 5, wherein:
the wireless uploading device is also respectively connected with the temperature sensing device and the humidity sensing device and used for selecting the wireless communication network with the maximum signal intensity to wirelessly transmit the current temperature and the current humidity to a remote server.
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| CN109002168B (en) * | 2018-08-08 | 2021-02-19 | 尹彦勇 | Picture information conversion method and system |
| CN109104556A (en) * | 2018-09-20 | 2018-12-28 | 合肥合茂电子科技有限公司 | A kind of miniature video camera |
| CN111214095A (en) * | 2018-11-23 | 2020-06-02 | 宁波旭磊电子科技有限公司 | Dual-mode intelligent electric cooker |
| CN112929450B (en) * | 2021-03-11 | 2022-04-15 | 浙江安防职业技术学院 | City security protection positioning system based on internet |
| CN113240695A (en) * | 2021-06-02 | 2021-08-10 | 四川轻化工大学 | Electric power operation personnel wearing identification method based on posture perception |
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